Download or read book National Library of Medicine Current Catalog written by National Library of Medicine (U.S.) and published by . This book was released on 1993 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: First multi-year cumulation covers six years: 1965-70.

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Download or read book Brock Chisholm the World Health Organization and the Cold War written by John Farley and published by UBC Press. This book was released on 2009-01-01 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brock Chisholm was one of the most influential Canadians of the twentieth century. A world-renowned psychiatrist, he was the first director-general of the World Health Organization and built it up against overwhelming political odds in the years immediately following the Second World War. An atheist and a fierce critic of jingoistic nationalism, he supported world peace and world government and became a champion of the United Nations and the WHO. Post-1945 international politics, global health issues, and medical history intersect in this highly readable account of a remarkable Canadian.

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Download or read book Sedation E Book written by Stanley F. Malamed and published by Elsevier Health Sciences. This book was released on 2009-06-23 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining essential theory with "how-to technical instruction, this concise guide is the leading reference for basic techniques in sedation and anxiety control in the dental office. The latest guidelines from the ADA and the American Society of Anesthesiologists keep you up-to-date with the latest medical standards. Content on patient management for pediatric, geriatric, physically compromised, and medically compromised patients helps you successfully treat any patient population. - In-depth discussions of the pharmacology of commonly used sedative agents allow you to fully understand properties and characteristics of drugs used. - Combines all aspects of sedation with essential theory and instruction - Boxes and tables highlight key information and make it easy to find important content. - Chapter 40-Legal Considerations includes the current liability standards for patient treatment to help you protect yourself and your patients. - Chapter 41-The Controversial Development of Anesthesiology in Dentistry focuses on the growing controversies, legal and otherwise, from both without and within the profession. - Updated patient management procedures provide the most current guidelines on everything from AHA CPR standards to the safest sedative procedures. - Full-color art program shows anatomy and other important concepts in vibrant detail. - Photos of the newest sedation and emergency equipment ensure you have the latest information on developments in the field.

Download or read book Semantic Relations Between Nominals Second Edition written by Vivi Nastase and published by Springer Nature. This book was released on 2022-05-31 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, rocks are located on Mars. Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora—to be analyzed, or used to gather relational evidence—have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods. These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data. The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning. The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning. This book aims to paint a big picture and to offer interesting details.

Download or read book Semantic Relations Between Nominals written by Vivi Nastase and published by Morgan & Claypool Publishers. This book was released on 2021-04-08 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, ROCKS are located on Mars. Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora—to be analyzed, or used to gather relational evidence—have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods. These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data. The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning. The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning. This book aims to paint a big picture and to offer interesting details.